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DISSEMINATION STRATEGY: LEVERAGING ARTIFICIAL INTELLIGENCE FOR CLIMATE RESILIENCE SOLUTIONS

Introduction
The Math4CCR project, Leveraging Mathematical Sciences for Climate Resilience Solutions in Africa, represents a pioneering approach to tackling climate resilience challenges by integrating mathematical sciences and Artificial Intelligence (AI). Recognizing the pressing need for advanced climate information systems in Africa, Math4CCR aims to empower a new generation of early-career researchers and policymakers with the skills to leverage AI for resilience planning. With mathematical AI offering transformative potential, this project will deliver capacity-building programs, create institutional frameworks, and cultivate a network of climate-focused AI experts across the continent. Our dissemination strategy outlines a targeted approach to engage key stakeholders, including academia, policymakers, climate scientists, and practitioners. Through a series of focused activities, from capacity-building sessions and policy roundtables to community-building events, this strategy aims to raise awareness, enhance collaborative partnerships, and ensure that Math4CCR’s insights and resources reach those best positioned to apply them in climate action.

  1. Objectives
    The dissemination strategy aims to:
    • Raise awareness and knowledge of the Math4CCR project among target audiences.
    • Engage stakeholders, including academia, policymakers, climate change experts, and practitioners, to maximize project impact.
    • Facilitate the transfer of project findings to improve resilience planning through mathematical AI.
    • Highlight the significance of mathematical sciences and AI in enhancing climate resilience.
    • Foster collaboration and build partnerships among mathematicians, climate scientists, and practitioners for sustained climate resilience efforts.
  2. Target Audience
    To maximize impact, target audiences will be divided as follows:
    • Academia: Researchers, students, and universities across Africa (University of Nairobi, Makerere University, Masinde Muliro University of Science and Technology).
    • Policy and Decision-Makers: African government bodies, climate-focused NGOs, and the African Union (AU).
    • Climate and Data Science Practitioners: Climate scientists, AI and data experts, and organizations such as AI for Earth.
    • Development Partners and Funders: Organizations like IDRC, ACDI, and the UN Environment Programme.
    • Media and Public: Journalists, bloggers, and influencers focused on climate action and AI.

READ MORE on the dissemination strategy.

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